Standardized Precipitation Index (SPI) Analysis
Overview
Developed a Python-based workflow to calculate the Standardized Precipitation Index (SPI) from historical precipitation data for drought assessment. The project identified wet and dry conditions across multiple time scales to support climate monitoring and water resource planning.
Study Area: India
Duration: Personal Learning Project (2025)
Role: Solo project
Status: Completed
Methods & Tools
Data Sources
- IMD Rainfall Data
Tools Used
- Python
- NumPy
- SciPy
- Xarray
Key Findings
- Calculated SPI at multiple temporal scales.
- Identified drought and wet periods.
- Supported drought monitoring and climate assessment.